1 The Importance of the Free African Americans Role in the Delaware Underground Railroad
Bibliographic record
Abstract
to Canada as a method for fugitive slaves to escape from bondage. Delaware was the last slaveholding state that these brave men and women had to cross through before they reached freedom. History is often skewed when researching the Underground Railroad. It emphasizes the white Americans who allowed their homes and businesses to be used as stops. However, attention is rarely given to those brave free African Americans that were critical in the operation of the Underground Railroad. The free African American population in Delaware was absolutely critical to the operation of the Underground Railroad, and without them, many historians argue that there would have been far less successful passages into the North. After the Revolutionary War, Delaware had already begun to make changes to its policies on slavery. The three counties in Delaware were notably different in their views on slavery. New Castle County was the most urbanized part of Delaware, and was bordered by the two free states, Pennsylvania and New Jersey. Kent County had a number of plantations, including those of Caesar Rodney and John Dickinson, two prominent political figureheads in Delaware. Kent County had a small number of slaves, even after the Constitution was signed. Sussex County is Delaware’s southern most county. It shares the Delmarva peninsula with Virginia and Maryland,
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".